Alignment
Establish the project’s broader vision, intended impact, and expectations for the partnership.
Design For Impact
Design For Impact
A collaborative scaffold for maximizing and communicating impact in statistical collaboration.
Impact doesn’t happen automatically—it requires alignment, intentionality, and translation.
From evidence to action.
Design For Impact builds on the Q1Q2Q3 framework developed by Vance and colleagues, which moves from qualitative context gathering, through quantitative analysis, to qualitative interpretation.
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Q1
Qualitative
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Q2
Quantitative
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Q3
Qualitative
Intentionality
Choose the design, dataset, analytical approach, and communication products that enable the intended impact.
Translation
Develop an audience-specific, evidence-based narrative connecting the findings to the stakeholders, decisions, or actions identified in Q1.
The tool turns these principles into five practical components.
See Design For Impact in action.
Explore two fictitious collaborations showing how Design For Impact adapts across professional and academic settings.
Marketing Campaign Optimization
Connecting customer-segmentation analysis to budget allocation, campaign planning, and conversion.
Environmental Attitudes and Behavior
Using complex findings to guide future research and the design of behavioral interventions.
Resources for applying and teaching Design For Impact.
For practitioners
Integrate Design For Impact into scoping conversations, project check-ins, analysis planning, and closeout without replacing your existing workflow.
For instructors
Help students connect statistical decisions to collaboration, stakeholder needs, and the communication of evidence.
Evaluated by students and practitioners.
Design For Impact was refined using feedback from students and practitioners from industry and academia.